Apply the Householder reflection
to the matrix
to obtain the QR
factorization.
Example 2.3.1. Suppose
and assume that the Householder
matrices H1 and H2 have been computed
so that

Concentrating on the highlighted vector
, we determine a Householder matrix
such that

Choosing
we
get

Next consider the highlighted vector
and determine
such that
![]()
Choosing
we have

By setting Q=H1H2H3H4,
we obtain QR=H1H2H3H4H4H3H2H1A=A.
Proposition 2.3.1.
If
then
there exist the Householder matrices
such that
![]()
![]()
and
![]()
where
is orthogonal and
is upper triangular.
Example 2.3.2. Find
the Householder QR factorization
for

In example 2.1.1 there has been found the
Householder matrix for the transformation of the first column vector
of A:

Find that

To find
we compute the according Householder
vector
![]()
Hence
![]()
and

and also


Find also the orthogonal matrix


and check the result

Example 2.3.3*. Find the Householder
QR factorization of

The vector that has to be transformed is
where
Construct the vector

Choose the sign minus for the coefficient of
and take into account that H depends only on the direction of
:
![]()
Find the Householder matrix


Verify that H1 annihilates all the elements of the
first column of A but the first one. Indeed,

Further we transform the vector
where
Find the Householder vector
according to
![]()
Choose the sign minus for coefficient of
:
![]()
We obtain the Householder matrix
according to this vector
![]()
![]()
![]()
and find that

Thus,

and

Let us check the result:

Exercise 2.3.1.* Find the QR
factorization of A if

